91 datasets found

A dataset for formality detection

A dataset for simultaneous nucleus instance segmentation and classification.

Language Agency Classification (LAC) dataset for training accurate language agency classifiers.

The HateXplain dataset, containing 20,000 posts from Gab and Twitter, annotated with hate/offensive/normal labels.

Sensorless dataset

The shuttle dataset is used for anomaly clustering and visualization. It contains 9 numerical attributes and 7 classes.

The dataset used in the paper for point cloud sampling and classification tasks.

The proposed model was evaluated on the second Ninapro benchmark database, referred to as the DB2. This publicly available dataset contains sparse multichannel sEMG data widely...

The MAGIC dataset is a multiclass classification dataset containing 19020 samples, each described by 10 features.

The dataset consists of 20 malware families. Three of these malware families, namely, Winwebsec, Zeroaccess, and Zbot, are from the Malicia dataset, while the remaining 17...

UC Merced Land Use Dataset (Yang & Newsam, 2010) contains remote sensing satellite images of 21 classes, with 100 images in each class.

The dataset is used for lost and found image identification. It contains images of lost and found items, and the authors used it to train a deep learning model to identify the...

The PSI-BLAST dataset contains protein structures obtained from a PSI-BLAST search using RAS sequences. This set was generated to test the ability of neural networks to classify...

The KRAS-HRAS dataset contains protein structures belonging to the KRAS and HRAS subfamilies of RAS. There is a total of 233 structures, 77 and 156 belonging to KRAS and HRAS...

The authors used the UCI Bank Marketing Dataset (UBMD), Lesion Disease Classification (LDC) and CIFAR-10 datasets for their experiments.

The dataset used in the paper for whole slide image (WSI) classification, which is a type of digital pathology. The dataset consists of histopathology and cytopathology images,...

The dataset used in this paper is the 3D-Shapes dataset, a 3D shape classification dataset.

The PointNet dataset is used for semantic segmentation of 3D point clouds. It contains annotated point clouds of objects such as table, human, box, robot, and cube.

Microscopic images of starch samples from 9 different botanical sources

The sugarcane leaf disease dataset has been collected from a trustworthy Mendeley repository. There are five main categories in the manually gathered sugarcane leaf disease...